function GAD_Etom_Plot_meanPV_vs_Mobility(Data_Summary)

for n = 1:size(Data_Summary, 2)
    if strcmp(Data_Summary(n).genotype, 'a5-i-WT') && strcmp(Data_Summary(n).drug, 'saline')
        Mean_PV_WT(n,1) = Data_Summary(n).PV_Corr_Memory_Index;
        Mobility_WT(n,1) = (Data_Summary(n).Mobility_Session1 + Data_Summary(n).Mobility_Session2)/2;
    end
end
Mean_PV_WT((Mean_PV_WT == 0)) = [];
Mobility_WT((Mobility_WT == 0)) = [];

for n = 1:size(Data_Summary, 2)
    if strcmp(Data_Summary(n).genotype, 'a5-i-KO') && strcmp(Data_Summary(n).drug, 'saline')
        Mean_PV_KO(n,1) = Data_Summary(n).PV_Corr_Memory_Index;
        Mobility_KO(n,1) = (Data_Summary(n).Mobility_Session1 + Data_Summary(n).Mobility_Session2)/2;
    end
end
Mean_PV_KO((Mean_PV_KO == 0)) = [];
Mobility_KO((Mobility_KO == 0)) = [];

figure
subplot(1,2,1)
% F1 = fit(Mobility_WT,Mean_PV_WT,'poly1');
plot(Mobility_WT,Mean_PV_WT,'ob');
xlabel('Mobility')
ylabel('mean(PV)')
set(gca, 'FontSize', 20)
title('p-WT', 'FontSize', 25)
ylim([0,0.6])
xlim([0.4,0.9])
legend('off')

subplot(1,2,2)
% F2 = fit(Mobility_KO,Mean_PV_KO,'poly1');
plot(Mobility_KO,Mean_PV_KO,'ob');
xlabel('Mobility')
ylabel('mean(PV)')
set(gca, 'FontSize', 20)
title('\alpha5-i-KO', 'FontSize', 25)
ylim([0,0.6])
xlim([0.4,0.9])
legend('off')

end